I build chatbots, RAG knowledge bots, and AI agents for the specific parts of your business that need to read intent and make a decision — not as a buzzword layered on top of automation that didn't need it.
When do I actually need AI instead of regular automation? AI is only needed when a step requires real judgment, like reading an open-ended message and understanding intent. If a process is genuinely rule-based, plain automation is cheaper and more reliable than adding AI unnecessarily.
Most "automate this" requests I get don't actually need AI — they need a Set/Edit Fields node and a Switch statement.
✓ No AI needed for: moving data between apps, sending scheduled reminders, updating a CRM field, generating a report on a schedule. These are rule-based and AI would only add cost and fragility.
AI genuinely helps with: reading an open-ended customer message and understanding what they want, answering questions from your actual documents, classifying intent before routing, drafting a first response for a human to review.
A business wanted to handle customer conversations on WhatsApp without a person manually replying to every message, and needed a way to re-engage customers who went quiet mid-conversation.
Built a WhatsApp Business API chatbot handling the core conversation flow, plus an automated follow-up sequence that re-engages customers who stop responding.
A short conversation about which part of your process actually needs AI, not just automation.
What it reads, how it decides, where the human review gate sits.
Prompt design, integrations, testing against real edge cases.
Handling the judgment calls, routing what it shouldn't handle to a human.
Tell me what you're trying to solve. I'll give you an honest answer — even if it's simpler than you expected.
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